output
20072026
most citedLINE: Large-scale Information Network Embedding

4.8k citations

Showing 2022 · cs.CVShow all

8 papers · 2 filters

cs.CV2022★ 9 cited

AI Illustrator: Translating Raw Descriptions into Images by Prompt-based Cross-Modal Generation

Yiyang Ma, Huan Yang, Bei Liu +2

AI illustrator aims to automatically design visually appealing images for books to provoke rich thoughts and emotions. To achieve this goal, we propose a framework for translating…

cs.CV2022★ 40 cited

GSRFormer: Grounded Situation Recognition Transformer with Alternate Semantic Attention Refinement

Zhi-Qi Cheng, Qi Dai, Siyao Li +2

Grounded Situation Recognition (GSR) aims to generate structured semantic summaries of images for "human-like" event understanding. Specifically, GSR task not only detects the sali…

cs.CV2022★ 13 cited

Deep Deformable 3D Caricatures with Learned Shape Control

Yucheol Jung, Wonjong Jang, Soongjin Kim +3

A 3D caricature is an exaggerated 3D depiction of a human face. The goal of this paper is to model the variations of 3D caricatures in a compact parameter space so that we can prov…

cs.CV2022★ 13 cited

Neighbor Correspondence Matching for Flow-based Video Frame Synthesis

Zhaoyang Jia, Yan Lu, Houqiang Li

Video frame synthesis, which consists of interpolation and extrapolation, is an essential video processing technique that can be applied to various scenarios. However, most existin…

cs.CV2022★ 76 cited

Dual Octree Graph Networks for Learning Adaptive Volumetric Shape Representations

Peng-Shuai Wang, Yang Liu, Xin Tong

We present an adaptive deep representation of volumetric fields of 3D shapes and an efficient approach to learn this deep representation for high-quality 3D shape reconstruction an…

cs.CV2022★ 66 cited

Towards Lightweight Transformer via Group-wise Transformation for Vision-and-Language Tasks

Gen Luo, Yiyi Zhou, Xiaoshuai Sun +5

Despite the exciting performance, Transformer is criticized for its excessive parameters and computation cost. However, compressing Transformer remains as an open problem due to it…

cs.CV2022★ 6 cited

Robust Table Detection and Structure Recognition from Heterogeneous Document Images

Chixiang Ma, Weihong Lin, Lei Sun +1

We introduce a new table detection and structure recognition approach named RobusTabNet to detect the boundaries of tables and reconstruct the cellular structure of each table from…

cs.CV2022★ 290 cited

Multi-Representation Adaptation Network for Cross-domain Image Classification

Yongchun Zhu, Fuzhen Zhuang, Jindong Wang +4

In image classification, it is often expensive and time-consuming to acquire sufficient labels. To solve this problem, domain adaptation often provides an attractive option given a…